Reinforcement-Learning Policies

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Period ending 2026-09-21

2 new papers

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Period ending 2026-09-14

1 new paper

A weekly snapshot of new work published in Reinforcement-Learning Policies.

Period ending 2026-09-07

2 new papers

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47 papers

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  1. FIERCE: From Generalist Robot Policies to Fast Specialists via Progress-Failure Feedback

    Sep 16, 2026Runjia Tan, Yuang Tu, Yujie Yan +3Robot PoliciesReinforcement-Learning Policies

  2. Conformal Policy Learning with Distribution-Free Safety Guarantees

    Sep 15, 2026Ying Jin, Naoki EgamiReinforcement-Learning PoliciesConservatism

  3. From Base Rollouts to RL Reasoning: A Budgeted Search Perspective

    Sep 1, 2026Wenhe Sun, Cunxiang Wang, Zijun Yao +1Reinforcement Learning With Verifiable RewardDeep Reinforcement Learning

  4. Satellite Trajectory Optimization via Proximal Policy Optimization for Space Debris Avoidance

    Aug 10, 2026Logan Luna, Juan Ortiz Couder, Raul Alejandro Vargas-AcostaCollision AvoidanceSpacecraft

  5. LLM-Guided Heuristic Design from Simulation Traces: A Case Study in Dynamic Production and AGV Scheduling

    Aug 10, 2026Jinbo Li, Chuanhao LiAgentic OptimizationSimulation-Based Reinforcement Learning

  6. Localized Adaptation Reveals Distinct Learning Signatures in Transformers

    Jul 28, 2026Rebecca Ramnauth, Brian ScassellatiTransformer ArchitecturesDistributional Signatures

  7. Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling

    Jul 20, 2026Saleh Valizadeh Sotubadi, Nazanin Mahjourian, Vinh NguyenFeature SelectionAdditive Manufacturing

  8. World Translation: Minimizing Sim-to-Real Gap with Backward Dynamics Extraction and Unpaired Domain Translation

    Jul 20, 2026Xinchen Yao, Leixin Chang, Hua ChenZero-Shot Sim-To-Real TransferSim-To-Real Gap

  9. Data and Learning Where it Matters for Contact-Rich Manipulation

    Jul 17, 2026Oliver Hausdörfer, Linus Schwarz, Gabor Marko +7Data CollectionRobotic Manipulation Policies

  10. Vision-Based Dribbling for Humanoid Soccer via Privileged Representation Learning

    Jul 14, 2026Flavio Maiorana, Valerio Spagnoli, Eugenio Bugli +5BadmintonRobotic Perception

  11. Think When It Matters: Conditional VLM Reasoning for Social Navigation with RL Policies

    Jul 13, 2026Ali Ahmadi, Hamed Rahimi, Adrien Jacquet Cretides +3Social Robot NavigationNavigation

  12. Towards Learning Representations of Policies in Two-Player Zero-Sum Imperfect-Information Games

    Jul 1, 2026Kevin Wang, Kevin Yang, Arjun Prakash +1Imperfect-Information GamesSelf-Play

  13. 3D HAMSTER: Bridging Planning and Control in Hierarchical Vision Language Action Models through 3D Trajectory Guidance

    Jun 30, 2026Dongyoon Hwang, Byungkun Lee, Dongjin Kim +7Reinforcement-Learning PoliciesPlanning Methods

  14. Learning from Mistakes: Rollout-Retrieval Lifelong Policy Learning for Autonomous Driving

    Jun 29, 2026Cheng Gong, Haoyang Wang, Chao Lu +2Autonomous DrivingReinforcement-Learning Policies

  15. FlowAWR: Online Adaptive Flow Reinforcement via Advantage-Weighted Rectification

    Jun 29, 2026Zheming Fu, Ruizhe He, Wei Shang +4Generative Flow NetworksVelocity Field

  16. SceneBot: Contact-Prompted General Humanoid Whole Body Tracking with Scene-Interaction

    Jun 25, 2026Sirui Chen, Shibo Zhao, Zhen Wu +3Long-Tail Humanoid Whole-Body ControlHuman Motion Generation

  17. Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy

    Jun 25, 2026Wenjie Huang, Yang Li, Jingjia Teng +6Reinforcement-Learning PoliciesAutonomous Driving

  18. DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning

    Jun 24, 2026Zili Lin, Wenyao Zhang, Yuyang Zhang +9Deformable ObjectsDeformable

  19. Safe and Generalizable Hierarchical Multi-Agent RL via Constraint Manifold Control

    Jun 22, 2026Zihao Guo, Jianing Zhao, Ling Li +3Multi-Agent Reinforcement LearningSafety Constraints

  20. Overcoming Imperfect Kinematics in Surgical Robotics Through Sim-to-Real Visuomotor Learning

    Jun 19, 2026Zhaoxuan Yan, Kaizhong Deng, Zhaoyang Jacopo Hu +2Robot-Assisted Minimally Invasive SurgeryVisual Servoing

  21. Learning Policy from a Single Trajectory in Average-Reward Markov Decision Process

    Jun 15, 2026Jongmin Lee, Ernest K. Ryu, Vaneet AggarwalMarkov Decision ProcessesModel-Free Reinforcement Learning

  22. Transfer Learning Across Policy Regimes in Adaptive Multi-Agent Systems

    Jun 15, 2026Roberto GarroneReinforcement-Learning PoliciesTransfer Learning

  23. V2P-Manip: Learning Dexterous Manipulation from Monocular Human Videos

    Jun 15, 2026Kaihan Chen, Yanming Shao, Haifeng Ji +2Generalizable Robotic ManipulationsManipulation

  24. Diffusion Offline Reinforcement Learning for Fair and Energy-Efficient UAV-Assisted Wireless Networks

    Jun 15, 2026Eslam Eldeeb, Hirley AlvesWireless NetworksOffline Reinforcement Learning

  25. EgoEngine: From Egocentric Human Videos to High-Fidelity Dexterous Robot Demonstrations

    Jun 10, 2026Yangcen Liu, Shuo Cheng, Xinchen Yin +6Scalable Robot Data SynthesisEgocentric Video

  26. Implicit Neural Representations of Individual Behavior

    Jun 10, 2026Andrew Kang, Priya NarasimhanReinforcement-Learning PoliciesImplicit Neural Representations

  27. Adversarial Attacks on Learned Policies for Surgical Robotic Tasks

    Jun 10, 2026Shutong Jin, Ziyang Chen, Preethi Satish +3Robot-Assisted Minimally Invasive SurgeryReinforcement-Learning Policies

  28. DexPIE: Stable Dexterous Policy Improvement from Real-World Experience

    Jun 8, 2026Ruizhe Liao, Wenrui Chen, Liangji Zeng +4Robotic Manipulation PoliciesGeneralizable Robotic Manipulations

  29. EgoAERO: Learning Dexterous Manipulation from a Single Egocentric Video without Object Assets

    Jun 6, 2026Yichen Niu, Haoran Lv, Xinrui Zhang +12Dexterous ManipulationEgocentric Video

  30. GenPO++: Generative Policy Optimization with Jacobian-free Likelihood Ratios

    Jun 5, 2026Ke Hu, Shutong Ding, Panxin Tao +2Flow-Based PolicyGenerative Flow Networks

  31. Auditing Demonstration Curation Metrics: Action-Only Scorers Fail on the Structural Defects That Degrade Imitation Policies

    Jun 4, 2026Aarav BediImitation LearningBehavior Cloning

  32. DLO-Lab: Benchmarking Deformable Linear Object Manipulations with Differentiable Physics

    Jun 2, 2026Junyi Cao, Yian Wang, Ziyan Xiong +3Deformable ObjectsRobot Systems

  33. Extreme Motion Generation via Hybrid Null-Space Control for Straight-Line Path Following

    Jun 2, 2026Xinyi Yuan, Weiwei Wan, Kensuke HaradaRobotic ArmsReinforcement-Learning Policies

  34. Learning to Assign Prediction Tasks to Agents with Capacity Constraints

    May 27, 2026Shang Wu, Saatvik Kher, Padhraic SmythAgentic Reinforcement-Learning FrameworkReinforcement-Learning Policies

  35. ParkourFormer: Integrating Predictive Supervision and Sequence Modeling into Parkour Locomotion

    May 25, 2026Yanheng Mai, Wenhao Xu, Zirui Huang +6Parkour LocomotionHuman Motion Prediction

  36. One Policy, Infinite NPCs: Persona-Traceable Shared RL Policies for Scalable Game Agents

    May 22, 2026Yoosung HongPersonaReinforcement-Learning Policies

  37. Set-Valued Policy Learning

    May 19, 2026Laura Fuentes-Vicente, Mathieu Even, Gaëlle Dormion +3Treatment EffectReinforcement-Learning Policies

  38. Efficient Lookahead Encoding and Abstracted Width for Learning General Policies in Classical Planning

    May 18, 2026Michael Aichmüller, Simon Ståhlberg, Martin Funkquist +1Classical PlanningReinforcement-Learning Policies

  39. ManiSoft: Towards Vision-Language Manipulation for Soft Continuum Robotics

    May 18, 2026Ziyu Wei, Luting Wang, Chen Gao +2Generalizable Robotic ManipulationsSoft Robots

  40. gym-invmgmt: An Open Benchmarking Framework for Inventory Management Methods

    May 12, 2026Reza Barati, Qinmin Vivian HuMonotonic Inventory EstimationReinforcement-Learning Policies

  41. Kintsugi: Learning Policies by Repairing Executable Knowledge Bases

    May 10, 2026Teng Cao, Yu Deng, Hikaru Shindo +6Embodied AgentsReinforcement-Learning Policies

  42. Failing Forward: Adaptive Failure-Informed Learning for Vision-Language-Action Models

    May 8, 2026Meng Zheng, Samhita Marri, Anwesa Choudhuri +6Reinforcement-Learning Policies

  43. Repeated Deceptive Path Planning against Learnable Observer

    May 8, 2026Shiyue Cao, Pei Xu, Likun Yang +6Coverage Path PlanningReinforcement-Learning Policies

  44. Learning and Reusing Policy Decompositions for Hierarchical Generalized Planning with LLM Agents

    May 7, 2026Shirin Sohrabi, Haritha Ananthakrishnan, Harsha Kokel +2Large Language Model PlanningClassical Planning

  45. Model-Based Proactive Cost Generation for Learning Safe Policies Offline with Limited Violation Data

    May 2, 2026Ruiqi Xue, Lei Yuan, Kainuo Cheng +2Safety ConstraintsReinforcement-Learning Policies

  46. Kernelized Advantage Estimation: From Nonparametric Statistics to LLM Reasoning

    Apr 30, 2026Shijin Gong, Kai Ye, Jin Zhu +3Large Language Model ReasoningPolicy Gradient

  47. Breaking Lock-In: Preserving Steerability under Low-Data VLA Post-Training

    Apr 25, 2026Suning Huang, Jiaqi Shao, Ke Wang +5Vision-Language-Action ModelsFrozen Vision-Language Models